IBM Watson 课程可以帮助您学习自然语言处理、Machine Learning、数据分析和 AI 驱动的应用程序开发。您可以掌握创建 Chatbot、分析大型数据集以及在各行各业实施 AI 解决方案的技能。许多课程都会介绍 IBM Watson Studio 和 Watson Assistant 等工具,让您能够有效地设计、训练和部署 AI 模型。

Google Cloud
您将获得的技能: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning
初级 · 项目 · 不超过 2 小时

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

University of Michigan
您将获得的技能: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Model Evaluation, Healthcare Industry Knowledge, Clinical Assessment, Health Informatics, Medical Privacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities
初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: PyTorch(机器学习库), 数据分析, Scikit-learn (机器学习库), 张力流, 微软 Azure, 人工智能和机器学习(AI/ML), 探索性数据分析, MLOps(机器学习 Operator), 深度学习, 回归分析, 无监督学习, 预测建模, 卷积神经网络, 应用机器学习, 数据可视化, 数据科学, 迁移学习, 分类算法, 机器学习, 图像分析
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Model Evaluation
中级 · 课程 · 1-4 周

您将获得的技能: Google Cloud Platform, Model Deployment, Unstructured Data, Tensorflow, Machine Learning, Jupyter, Data Pipelines, Big Data, Artificial Intelligence, Natural Language Processing
中级 · 课程 · 1-3 个月